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2022 World Automation Congress (WAC)最新文献

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Key technologies of physical layer of radio and television wireless network based on 5g wireless communication network 基于5g无线通信网络的广电无线网络物理层关键技术
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934135
Yang Min, Zhang Jiaji
The physical layer design of 5g wireless communication network also plays an important role in the application of 5g wireless communication technology and the optimization of communication effect of wireless communication technology. In the process of designing the 5g network, it is necessary to integrate the 5g network technology and ensure the application of the 5g network technology. In the actual design of the 5g network, it is more necessary to integrate the 5g network technology. Radio and television wireless network 5g the physical layer of wireless communication network is the part that manages the transmission, reception, modulation and demodulation of radio waves. It is also called RF (radio frequency) or microwave link. This layer controls all data transmission between two nodes in the wireless network. Radio and television wireless network 5g the physical layer of wireless communication network uses electromagnetic wave to transmit signals from one point to another through antenna.
5g无线通信网络的物理层设计对5g无线通信技术的应用和无线通信技术的通信效果优化也起着重要的作用。在设计5g网络的过程中,需要整合5g网络技术,保证5g网络技术的应用。在5g网络的实际设计中,更需要对5g网络技术进行整合。无线电视无线网络5g无线通信网络的物理层是管理无线电波的发射、接收、调制和解调的部分。它也被称为RF(射频)或微波链路。该层控制无线网络中两个节点之间的所有数据传输。广播电视无线网络5g无线通信网络的物理层利用电磁波通过天线将信号从一点传输到另一点。
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引用次数: 0
Comparative study on the application of 3D printing and digital printing technology in fashion design 3D打印与数码打印技术在服装设计中的应用对比研究
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934299
Fu Cheng
The purpose of this project is to better understand 3D printing technology and its application in fashion design. The main focus will be on the use of additive manufacturing (AM) technology to create unique custom clothing. Digital printing technology is a method of producing printed documents using digital imaging technology. This process involves reading an image using an electronic device and then generating a printout from it. This is different from traditional offset printing, in which ink is coated on paper and then transferred to the finished product. Digital printing uses computer-based processes and machines controlled by software programs to create images on paper or other surfaces. This study will involve a comparative study between digital and traditional printing methods, as well as how am is used in garment production. In addition, it will include a comparison between existing clothing produced by traditional methods and clothing produced by traditional methods.
这个项目的目的是更好地了解3D打印技术及其在服装设计中的应用。主要重点将是使用增材制造(AM)技术来创建独特的定制服装。数字印刷技术是利用数字成像技术生产印刷文件的一种方法。这个过程包括使用电子设备读取图像,然后从中生成打印输出。这与传统的胶印不同,传统的胶印是将油墨涂在纸上,然后转移到成品上。数码印刷使用基于计算机的过程和由软件程序控制的机器在纸上或其他表面上产生图像。这项研究将涉及数码和传统印花方法的比较研究,以及am如何在服装生产中使用。此外,它将包括对现有的传统方法生产的服装和传统方法生产的服装的比较。
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引用次数: 0
Research on Bridge Health Management Prediction System Based on deep learning 基于深度学习的桥梁健康管理预测系统研究
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934154
Zhichao Liu
The bridge management is investigated and studied. At present, the bridge management mode and management means are old. The bridge data collected, analyzed and managed by manual method brings a lot of inconvenience to the maintenance and management; If the technical archives of some bridges are lost, we can only rely on qualitative understanding and the experience of technicians to analyze the technical status of bridges, and make decisions according to past experience to determine the bridge maintenance and repair scheme; At the same time, as the maintenance funds are not guaranteed and the technical force is low, the necessary daily maintenance of the bridge cannot be guaranteed, resulting in the rapid deterioration of the diseases and defects of the bridge, reducing the bearing capacity of the bridge and affecting the normal use of the bridge. Research on the prediction system of bridge health management based on deep learning, and develop an artificial intelligence system, which can predict the bridge health status according to the data collected from the sensors installed on the bridges all over the world.
对桥梁管理进行了调查研究。目前,桥梁管理模式和管理手段较为陈旧。手工采集、分析和管理桥梁数据,给维护管理带来诸多不便;如果一些桥梁的技术档案丢失,我们只能依靠定性的了解和技术人员的经验来分析桥梁的技术状况,并根据过去的经验进行决策,以确定桥梁的维护和维修方案;同时,由于养护资金得不到保障,技术力量低下,无法保证对桥梁进行必要的日常养护,导致桥梁病害和缺陷迅速恶化,降低了桥梁的承载能力,影响了桥梁的正常使用。研究基于深度学习的桥梁健康管理预测系统,开发人工智能系统,根据安装在世界各地桥梁上的传感器收集的数据,预测桥梁健康状态。
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引用次数: 0
Posture Estimation System for Excavator Manipulator Using Deep Learning and Inverse Kinematics 基于深度学习和逆运动学的挖掘机机械手姿态估计系统
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934504
Yuki Kurisu, Tomio Shigaki, Nozomu Araki, Y. Konishi
This study aims to construct a simple system for estimating and measuring the front manipulator posture by attaching a camera to an excavator. We propose a method to extract the feature points of the arms and buckets tip by deep learning and to calculate the posture of the front part using camera geometry and inverse kinematics from the obtained feature points. The effectiveness of the proposed method was verified experimentally using a scale model.
本研究的目的是建立一个简单的系统来估计和测量前机械手的姿态,通过在挖掘机上安装一个摄像头。我们提出了一种通过深度学习提取手臂和桶尖特征点的方法,并从获得的特征点中使用相机几何和逆运动学来计算前部的姿态。通过比例模型实验验证了该方法的有效性。
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引用次数: 0
Design and Realization of Composition System Based on Computer Information Technology 基于计算机信息技术的作文系统设计与实现
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934742
Hongqiong Duan
With the progress of the times and the development of science and technology, computer technology is also maturing day by day. In recent years, computer technology has also been widely used in colleges and universities, especially in basic music teaching. The current basic music teaching model is relatively backward, and the monotonous teaching has led to a sharp drop in students' interest and reduced teaching efficiency. The participation of computer technology has brought new challenges and opportunities to basic music teaching, and has greatly promoted the innovation of basic music teaching. The purpose of this article is to research the application of computer technology (ACT) in music teaching in colleges and universities elementary education. In this paper, the ACT in elementary music teaching, described from many angles teaching ear training, music appreciation teaching, music teaching. On the basis of the above, the positive role of computers in the application of basic music teaching is systematically analyzed, so that students will be interested in basic music teaching and improve student learning efficiency and teacher teaching quality. The experimental research results show that the actual ACT in music composition teaching is the best, at 94.28%, followed by sight Singing and Ear training and music appreciation teaching, with an average of about 92%. From the overall analysis, the ACT in basic music teaching has made some achievements, and the application in all aspects is relatively complete.
随着时代的进步和科学技术的发展,计算机技术也日趋成熟。近年来,计算机技术在高校中也得到了广泛的应用,尤其是在基础音乐教学中。目前的音乐基础教学模式相对落后,教学单调,导致学生兴趣急剧下降,教学效率降低。计算机技术的参与给基础音乐教学带来了新的挑战和机遇,极大地促进了基础音乐教学的创新。本文的目的是研究计算机技术在高等学校基础音乐教学中的应用。本文就ACT在小学音乐教学中的应用,从多角度阐述了听力训练教学、音乐鉴赏教学、音乐教学。在此基础上,系统分析了计算机在音乐基础教学应用中的积极作用,使学生对音乐基础教学产生兴趣,提高学生的学习效率和教师的教学质量。实验研究结果表明,实际ACT在作曲教学中的表现最好,为94.28%,其次是视唱耳练和音乐欣赏教学,平均约为92%。从整体上分析,ACT在基础音乐教学中取得了一定的成绩,在各方面的应用也比较完善。
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引用次数: 0
Structure design and motion control of manipulator 机械手的结构设计与运动控制
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934123
Xuanmin Ma, Ziyang Lu, Yunfei Ma
Most of the research on new bionic robots are applied in unstructured environment and can be competent for some tasks in complex structure or narrow space. As an important member in the field of bionic robot, snake manipulator has the advantages of good accessibility, high flexibility and strong environmental adaptability, and has a good application prospect. This paper studies the body structure design, motion analysis, control system design and prototype verification of snake manipulator. In this paper, the body structure of snake manipulator is designed, including driving mode and joint connection mode. The three-dimensional structural model of snake manipulator is designed by using SolidWorks, and the static analysis of key stress components is carried out to verify the structural reliability. The motion analysis of snake manipulator is completed. The motion principle analysis of the transmission mechanism, the motion analysis in two-dimensional plane and the kinematics and dynamics analysis in three-dimensional space provide a theoretical basis for further control.
新型仿生机器人的研究大多是应用于非结构化环境,能够胜任复杂结构或狭窄空间的一些任务。蛇形机械手作为仿生机器人领域的重要成员,具有易接近性好、柔性高、环境适应性强等优点,具有良好的应用前景。本文研究了蛇形机械手的主体结构设计、运动分析、控制系统设计和样机验证。本文对蛇形机械手的主体结构进行了设计,包括驱动方式和关节连接方式。利用SolidWorks软件设计了蛇形机械臂的三维结构模型,并对关键应力构件进行了静力分析,验证了结构的可靠性。完成了蛇形机械手的运动分析。传动机构的运动原理分析、二维平面的运动分析和三维空间的运动学和动力学分析为进一步控制提供了理论依据。
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引用次数: 0
Three Dimensional Human Condition Model during Walking Based on Emotion Estimation and Muscle Fatigue Evaluation 基于情绪估计和肌肉疲劳评估的三维人体步行状态模型
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934297
Eiichirou Tanaka, Yutao Gong, Yunfan Li, J. Yang, Jyun-Rong Zhuang, Keisuke Osawa
We have developed walking assistance system considering the condition of the emotion and fatigue. This system consists of the emotion estimation, the fatigue evaluation, decision function of the walking condition, and walking assistive device. We already made the emotion estimation system, and obtained the method of muscle fatigue evaluation by NIRS, and the walking assistive device. To complete the decision function, it is necessary to recognize the current condition of the user’s emotion and fatigue. In this paper, we proposed the three dimensional human condition model to decide the suitable walking setting. Finally, the example of using this model and the importance of the recognition both emotion and fatigue were shown.
我们开发了考虑到情绪和疲劳状况的步行辅助系统。该系统由情感评估、疲劳评估、行走状态决策函数和行走辅助装置组成。我们已经制作了情绪评估系统,获得了近红外光谱肌肉疲劳评估方法,以及行走辅助装置。为了完成决策功能,需要识别用户的情绪和疲劳的当前状态。本文提出了三维人体状况模型来确定适宜的步行环境。最后,通过实例说明了该模型的应用,以及识别情绪和疲劳的重要性。
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引用次数: 0
Computer Network Security Encryption Technology Based on Neural Network 基于神经网络的计算机网络安全加密技术
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934226
Zejian Dong
With the rapid development of computer networks and information technology today, people are more inclined to use network systems to achieve various data exchanges. Alibaba, Tencent and other companies' virtual payment has become the mainstream payment method. Due to the globalization and openness of the network, anyone can freely enter and exit, which brings huge hidden dangers to NS(network security). NS has become an important issue that we have to face. Once important information is stolen, it is likely to cause very large losses to individuals and even the society. This article mainly studies the computer NS encryption technology of neural network. First of all, the current situation of computer NS is comprehensively reflected from the two aspects of domestic Internet users and NS penetration rate in recent years. By 2020, the number of Chinese residents using the Internet has reached 1.034 billion, and 77.3% of Internet users are generally aware of NS. Secondly, it analyzes the effect of NN(neural network) on computer NS encryption technology. The results show that the use of NN in computer encryption technology not only helps to improve security and convenience, but also prevents the secondary transmission of data and prevents related information leakage.
在计算机网络和信息技术飞速发展的今天,人们更倾向于利用网络系统来实现各种数据的交换。阿里巴巴、腾讯等公司的虚拟支付已经成为主流的支付方式。由于网络的全球化和开放性,任何人都可以自由进出,这给NS(网络安全)带来了巨大的隐患。NS已经成为我们必须面对的一个重要问题。重要信息一旦被盗,很可能给个人乃至社会造成非常大的损失。本文主要研究了神经网络的计算机NS加密技术。首先,从近年来国内互联网用户和NS普及率两个方面全面反映了计算机NS的现状。到2020年,中国居民使用互联网的人数将达到10.34亿,77.3%的网民基本了解NS。其次,分析了神经网络对计算机网络加密技术的影响。结果表明,在计算机加密技术中使用神经网络不仅有助于提高安全性和方便性,而且可以防止数据的二次传输,防止相关信息的泄露。
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引用次数: 0
Real Estate Query Algorithm Based on User Preference 基于用户偏好的房地产查询算法
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934705
Keyan Cao, Gongjie Meng, Yukuan Dong, Qiushi Wang
In recent years, as the quality of life has improved, people’s demand for housing has become more refined, and many Internet housing query platforms and query algorithms have emerged. This paper proposes a real estate query algorithm based on user preferences. In order to reduce the cost of time and space in the query process, an index structure that adds a distance factor and a subtree of house hierarchical clustering is proposed—HCIR-Tree (Hierarchical Clustering Information R-Tree) index tree. In order to improve the query efficiency of the houses to which the real estate belongs, a real estate hierarchical clustering subtree is established at the leaf node where the real estate is located. Through a large number of experiments, the query performance of the algorithm proposed in this paper is verified.
近年来,随着生活质量的提高,人们对住房的需求更加细化,出现了许多互联网住房查询平台和查询算法。提出了一种基于用户偏好的房产查询算法。为了降低查询过程中的时间和空间成本,提出了一种添加距离因子和房屋分层聚类子树的索引结构——hir - tree (hierarchical clustering Information R-Tree)索引树。为了提高房产所属房屋的查询效率,在房产所在的叶节点上建立了房产分层聚类子树。通过大量实验,验证了本文算法的查询性能。
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引用次数: 0
Research on Intelligent collar animal husbandry health diagnosis service platform based on Cloud Computing 基于云计算的智能领式畜牧业健康诊断服务平台研究
Pub Date : 2022-10-11 DOI: 10.23919/WAC55640.2022.9934457
Chaowei Jia, Fei Dong
The health status of livestock is closely related to the economic benefits of pastures. The traditional health monitoring of livestock still depends on human judgment. With the expansion of breeding scale and the scarcity of modern animal husbandry and veterinary talents, this method is no longer applicable. Therefore, the realization of automatic monitoring of livestock physical parameters is the future development direction of animal husbandry. In order to accurately judge the health status of livestock, based on the intelligent collar, this paper studies and designs a livestock oriented livestock health diagnosis algorithm, which can provide a certain reference for farmers' decision-making. By studying the change law of sign parameters when the physiological state of livestock changes, it is decided to take the temperature, rumination time and exercise volume of livestock as the characteristic parameters. The original data are extracted and corrected by using the linear regression algorithm based on least square method, peak detection algorithm and K-means clustering algorithm respectively, and the obtained results are used as the input of health diagnosis algorithm.
牲畜的健康状况与牧场的经济效益密切相关。传统的家畜健康监测仍然依赖于人的判断。随着养殖规模的扩大和现代畜牧兽医人才的稀缺,这种方法已不再适用。因此,实现对牲畜身体参数的自动监测是畜牧业未来的发展方向。为了准确判断家畜的健康状况,本文基于智能项圈,研究设计了一种面向家畜的家畜健康诊断算法,可以为养殖户的决策提供一定的参考。通过研究家畜生理状态变化时标志参数的变化规律,决定以家畜的温度、反刍时间和运动量作为特征参数。分别使用基于最小二乘法的线性回归算法、峰值检测算法和k均值聚类算法对原始数据进行提取和校正,并将得到的结果作为健康诊断算法的输入。
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引用次数: 0
期刊
2022 World Automation Congress (WAC)
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